BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

165 related articles for article (PubMed ID: 35884267)

  • 1. Mental Stress Assessment Using Ultra Short Term HRV Analysis Based on Non-Linear Method.
    Lee S; Hwang HB; Park S; Kim S; Ha JH; Jang Y; Hwang S; Park HK; Lee J; Kim IY
    Biosensors (Basel); 2022 Jun; 12(7):. PubMed ID: 35884267
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Ultra-short term HRV features as surrogates of short term HRV: a case study on mental stress detection in real life.
    Castaldo R; Montesinos L; Melillo P; James C; Pecchia L
    BMC Med Inform Decis Mak; 2019 Jan; 19(1):12. PubMed ID: 30654799
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Detection of mental stress due to oral academic examination via ultra-short-term HRV analysis.
    Castaldo R; Xu W; Melillo P; Pecchia L; Santamaria L; James C
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3805-3808. PubMed ID: 28269115
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Determination of Optimal Heart Rate Variability Features Based on SVM-Recursive Feature Elimination for Cumulative Stress Monitoring Using ECG Sensor.
    Park D; Lee M; Park SE; Seong JK; Youn I
    Sensors (Basel); 2018 Jul; 18(7):. PubMed ID: 30041417
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Validity of Ultra-Short-Term HRV Analysis Using PPG-A Preliminary Study.
    Taoum A; Bisiaux A; Tilquin F; Le Guillou Y; Carrault G
    Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298346
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Detection of major depressive disorder from linear and nonlinear heart rate variability features during mental task protocol.
    Byun S; Kim AY; Jang EH; Kim S; Choi KW; Yu HY; Jeon HJ
    Comput Biol Med; 2019 Sep; 112():103381. PubMed ID: 31404718
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Ultra short term analysis of heart rate variability for monitoring mental stress in mobile settings.
    Salahuddin L; Cho J; Jeong MG; Kim D
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():4656-9. PubMed ID: 18003044
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Driver Stress Detection Using Ultra-Short-Term HRV Analysis under Real World Driving Conditions.
    Liu K; Jiao Y; Du C; Zhang X; Chen X; Xu F; Jiang C
    Entropy (Basel); 2023 Jan; 25(2):. PubMed ID: 36832561
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic sleep staging using empirical mode decomposition, discrete wavelet transform, time-domain, and nonlinear dynamics features of heart rate variability signals.
    Ebrahimi F; Setarehdan SK; Ayala-Moyeda J; Nazeran H
    Comput Methods Programs Biomed; 2013 Oct; 112(1):47-57. PubMed ID: 23895941
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detection of driver drowsiness using wavelet analysis of heart rate variability and a support vector machine classifier.
    Li G; Chung WY
    Sensors (Basel); 2013 Dec; 13(12):16494-511. PubMed ID: 24316564
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Pain Recognition With Electrocardiographic Features in Postoperative Patients: Method Validation Study.
    Kasaeyan Naeini E; Subramanian A; Calderon MD; Zheng K; Dutt N; Liljeberg P; Salantera S; Nelson AM; Rahmani AM
    J Med Internet Res; 2021 May; 23(5):e25079. PubMed ID: 34047710
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep ECGNet: An Optimal Deep Learning Framework for Monitoring Mental Stress Using Ultra Short-Term ECG Signals.
    Hwang B; You J; Vaessen T; Myin-Germeys I; Park C; Zhang BT
    Telemed J E Health; 2018 Oct; 24(10):753-772. PubMed ID: 29420125
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Reliability of ultra-short-term analysis as a surrogate of standard 5-min analysis of heart rate variability.
    Baek HJ; Cho CH; Cho J; Woo JM
    Telemed J E Health; 2015 May; 21(5):404-14. PubMed ID: 25807067
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Fusion of heart rate variability and salivary cortisol for stress response identification based on adverse childhood experience.
    Aimie-Salleh N; Malarvili MB; Whittaker AC
    Med Biol Eng Comput; 2019 Jun; 57(6):1229-1245. PubMed ID: 30734153
    [TBL] [Abstract][Full Text] [Related]  

  • 15. HRV Features as Viable Physiological Markers for Stress Detection Using Wearable Devices.
    Dalmeida KM; Masala GL
    Sensors (Basel); 2021 Apr; 21(8):. PubMed ID: 33921884
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal.
    Asl BM; Setarehdan SK; Mohebbi M
    Artif Intell Med; 2008 Sep; 44(1):51-64. PubMed ID: 18585905
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Novel Wearable EEG and ECG Recording System for Stress Assessment.
    Ahn JW; Ku Y; Kim HC
    Sensors (Basel); 2019 Apr; 19(9):. PubMed ID: 31035399
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An optimization study of the ultra-short period for HRV analysis at rest and post-exercise.
    Wu L; Shi P; Yu H; Liu Y
    J Electrocardiol; 2020; 63():57-63. PubMed ID: 33142181
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Classification of acute stress using linear and non-linear heart rate variability analysis derived from sternal ECG.
    Tanev G; Saadi DB; Hoppe K; Sorensen HB
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():3386-9. PubMed ID: 25570717
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Are ultra-short heart rate variability features good surrogates of short-term ones? State-of-the-art review and recommendations.
    Pecchia L; Castaldo R; Montesinos L; Melillo P
    Healthc Technol Lett; 2018 Jun; 5(3):94-100. PubMed ID: 29922478
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.